docx-parse-resilient

A method for extracting text from Microsoft Word DOCX files. DOCX files are compressed packages containing document data, so the method uses shell tools first and a built-in Python fallback if needed.

In plain words
What is it for?
Use it in scripts, containers, or CI systems to check a DOCX file, extract its main document text, and fall back to Python when necessary.
Why use it?
It helps retrieve text reliably when the usual Word-processing library is unavailable or shell extraction fails.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/hkuds/openspace/docx-shell-parse-enhanced
Any agent
npx skills add HKUDS/OpenSpace --skill docx-shell-parse-enhanced
Clone the repo
git clone --depth 1 https://github.com/HKUDS/OpenSpace

Made for: Claude Code, Codex.

Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,895 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00026 $0.01895
Opus 5 $0.00013 $0.00948
Sonnet 5 $0.00005 $0.00379
Haiku 4.5 $0.00003 $0.00189

Measured 3d ago against content hash c23ca6e7b740, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

docx-parse-resilient scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

result = subprocess.run(
benchmarks/gdpval/skills/docx-shell-parse-enhanced/SKILL.md · 264 lines

How it starts

The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Resilient DOCX Text Extraction

Extract text from Microsoft Word (.docx) files using a robust two-tier approach: shell-based extraction as the primary method, with Python zipfile fallback when shell commands fail or return no output.

When to Use

  • Python environment may lack python-docx but zipfile module is available (standard library)
  • Working in constrained or inconsistent environments (containers, minimal images, CI/CD)
  • Shell unzip command returns errors or no output
  • Need reliable extraction with automatic fallback

Core Technique

DOCX files are ZIP archives containing XML files. This skill provides two extraction methods:

  1. Primary (Shell): unzip -p + sed for fast extraction
  2. Fallback (Python): zipfile module for reliable extraction when shell fails

Step-by-Step Instructions

1. Verify the DOCX file exists

ls -la document.docx

2. Test shell extraction first (recommended)

Try the shell-based approach:

unzip -p document.docx word/document.xml 2>/dev/null | sed -e 's/<[^>]*>//g'

3. Check if shell extraction produced output

Verify the shell method returned content:

content=$(unzip -p document.docx word/document.xml 2>/dev/null | sed -e 's/<[^>]*>//g')
if [ -z "$content" ]; then
    echo "Shell extraction returned no output, trying Python fallback..."
fi

4. Use Python zipfile fallback if needed

When shell commands fail or return empty output, use Python's standard zipfile module:

python3 -c "
import zipfile
import sys
import re

try:
    with zipfile.ZipFile('document.docx', 'r') as z:
        content = z.read('word/document.xml').decode('utf-8')
        # Strip XML tags
        text = re.sub(r'<[^>]*>', '', content)
        # Clean whitespace
        lines = [line.strip() for line in text.split('\n') if line.strip()]
        print('\n'.join(lines))
except Exception as e:
    print(f'Error: {e}', file=sys.stderr)
    sys.exit(1)
"

5. Save extracted text to file

Read the full file on GitHub · 264 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 264 lines · 26 tokens per session scan A c23ca6e7b740

Subscribe to this mod's changes

docx-parse-resilient is a skill published in the GitHub repository HKUDS/OpenSpace (7,486 stars, last pushed 21d ago), licensed MIT. It adds 26 tokens to every session and 1,895 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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